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Christos Agiakloglou

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Agiakloglou, Christos & Drivas, Kyriakos & Karamanis, Dimitris, 2014. "Individual Inventors and Market Potentials: Evidence from US Patents," MPRA Paper 58838, University Library of Munich, Germany.

    Cited by:

    1. Drivas, Kyriakos & Kaplanis, Ioannis, 2020. "The Role of International Collaborations in Securing the Patent Grant," MPRA Paper 99520, University Library of Munich, Germany.
    2. Chung, Jaemin & Ko, Namuk & Kim, Hyeonsu & Yoon, Janghyeok, 2021. "Inventor profile mining approach for prospective human resource scouting," Journal of Informetrics, Elsevier, vol. 15(1).
    3. Ronald B. Davies & Dieter Franz Kogler & Ryan M. Hynes, 2020. "Patent Boxes and the Success Rate of Applications," Working Papers 202018, School of Economics, University College Dublin.
    4. Mohd Shadab Danish & Pritam Ranjan & Ruchi Sharma, 2021. "Identification of “Valuable” Technologies via Patent Statistics in India: An Analysis Based on Renewal Information," BASE University Working Papers 13/2021, BASE University, Bengaluru, India.
    5. Mohd Shadab Danish & Pritam Ranjan & Ruchi Sharma, 2022. "Assessing the Impact of Patent Attributes on the Value of Discrete and Complex Innovations," Papers 2208.07222, arXiv.org.
    6. Fernando Zelada Briceno, 2025. "Marketing Plans for Technological Innovation Centers: 05 Success Cases," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 16(2), pages 35-48, June.
    7. Andreas Panagopoulos & Stelios Rozakis & Katerina Sideri & Afroditi Anagnosti, 2019. "University Technology Transfer and Agricultural Science Entrepreneurial Education: a View from Inside," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(4), pages 1466-1481, December.

  2. Agiakloglou, Christos & Gkouvakis, Michalis, 2012. "Causal interrelations among market fundamentals: Evidence from the Europen telecommunications sector," 23rd European Regional ITS Conference, Vienna 2012 60387, International Telecommunications Society (ITS).

    Cited by:

    1. Mohammed Ali Ahmed Al-Sharafi & Shu Tong & Abdullah Aloqab, 2021. "The Effective Role of Internal Factors on Reconstructing Telecom Companies: The Case of Yemen Telecom," Sustainability, MDPI, vol. 13(3), pages 1-23, February.
    2. Christos Agiakloglou & Michael Polemis, 2018. "The Impact of Structural Reforms on Telecommunications Performance," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 209-222, June.

Articles

  1. Christos Agiakloglou & Apostolos Tsimpanos, 2023. "Evaluating the performance of AIC and BIC for selecting spatial econometric models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-35, December.

    Cited by:

    1. Mendieta-Aragón, Adrián & Rodríguez-Fernández, Laura & Navío-Marco, Julio, 2023. "Tourism usage of digital collaborative economy platforms in Europe: situation, behaviours and implication for the digital policies," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 278002, International Telecommunications Society (ITS).
    2. Mendieta-Aragón, Adrián & Rodríguez-Fernández, Laura & Navío-Marco, Julio, 2025. "Tourism usage of digital collaborative economy platforms in Europe: Situation, behaviours, and implications for the digital policies," Telecommunications Policy, Elsevier, vol. 49(1).
    3. Naman Mishra & Simon Grima & Ercan Ozen, 2024. "Unpacking the black box: Investigating the role of social protection programmes in promoting decent work and economic growth in low‐income countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 5825-5835, October.
    4. Sharifiasl, Seyedsoheil & Kharel, Subham & Pan, Qisheng & Li, Jianling, 2024. "Assessing the impact of transit accessibility on employment density: A spatial analysis of gravity-based accessibility incorporating job matching, transit service types, and first/last mile modes," Journal of Transport Geography, Elsevier, vol. 121(C).

  2. Christos Agiakloglou & Anil Bera & Emmanouil Deligiannakis, 2022. "Evaluating measures of dependence for linearly generated nonlinear time series along with spurious correlation," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 535-552, July.

    Cited by:

    1. Nikolaos Agiakloglou & Nikolaos Georgopoulos, 2025. "Spurious relationships for energy patents using various dependency measures: the case of G7 countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 49(4), pages 942-962, December.

  3. Agiakloglou, Christos & Gkouvakis, Michael, 2022. "Policy implications and welfare analysis under the possibility of default for the Euro zone area," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).

    Cited by:

    1. María J. López-Serrano & Fida Hussain Lakho & Stijn W.H. Van Hulle & Ana Batlles-delaFuente, 2023. "Life cycle cost assessment and economic analysis of a decentralized wastewater treatment to achieve water sustainability within the framework of circular economy," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 103-133, March.
    2. Meylis Orazov, 2023. "The Interaction of Monetary and Macroprudential Policies in the Presence of Financial Frictions," Russian Journal of Money and Finance, Bank of Russia, vol. 82(4), pages 3-43, December.

  4. Christos Agiakloglou & Apostolos Tsimpanos, 2021. "Evaluating information criteria for selecting spatial processes," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(3), pages 677-697, June.

    Cited by:

    1. Ekinci, Ekin & İlhan Omurca, Sevinç & Özbay, Bilge, 2021. "Comparative assessment of modeling deep learning networks for modeling ground-level ozone concentrations of pandemic lock-down period," Ecological Modelling, Elsevier, vol. 457(C).
    2. Christos Agiakloglou & Apostolos Tsimpanos, 2023. "Evaluating the performance of AIC and BIC for selecting spatial econometric models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-35, December.

  5. Christos Agiakloglou & Emmanouil Deligiannakis & Maria Psillaki, 2021. "Investigating the behaviour of sovereign risk for Eurozone countries," Applied Economics, Taylor & Francis Journals, vol. 53(53), pages 6204-6212, November.

    Cited by:

    1. Afonso, António & Alves, José & Monteiro, Sofia, 2024. "Sovereign risk dynamics in the EU: The time varying relevance of fiscal and external (im)balances," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 94(C).
    2. Aktham Maghyereh & Hussein Abdoh, 2024. "Oil price uncertainly and sovereign credit risk in GCC countries: fresh evidence," International Economics and Economic Policy, Springer, vol. 21(2), pages 457-482, May.

  6. Agiakloglou, Christos & Deligiannakis, Emmanouil, 2020. "Sovereign risk evaluation for European Union countries," Journal of International Money and Finance, Elsevier, vol. 103(C).

    Cited by:

    1. Sahibzada, Irfan Ullah, 2023. "To what extent do sovereign rating actions affect global equity market sectors?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 240-261.
    2. Nicoletta Layher & Eyden Samunderu, 2020. "The Impact of the Introduction of Uniform European Collective Action Clauses on European Government Bonds as a Regulatory Result of the European Sovereign Debt Crisis," JRFM, MDPI, vol. 14(1), pages 1-32, December.
    3. Carnazza, Giovanni & Liberati, Paolo, 2021. "The asymmetric impact of the pandemic crisis on interest rates on public debt in the Eurozone," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 521-542.
    4. Hippolyte Balima & Alexandru Minea & Cezara Vinturis, 2023. "Do sovereign credit rating events affect the foreign exchange market? Evidence from a treatment effect analysis," Southern Economic Journal, John Wiley & Sons, vol. 90(1), pages 156-181, July.
    5. Nicoló Andrea Caserini & Paolo Pagnottoni, 2022. "Effective transfer entropy to measure information flows in credit markets," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 729-757, October.
    6. Jiang, Yong & Klein, Tony & Ren, Yi-Shuai & Dai, Jia-Hang, 2025. "Through the looking glass: Unveiling geopolitical risks and sovereign bond spillovers in the eurozone," International Review of Financial Analysis, Elsevier, vol. 103(C).

  7. Christos Agiakloglou & Michael Polemis, 2018. "The Impact of Structural Reforms on Telecommunications Performance," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 209-222, June.

    Cited by:

    1. Ryota Nakatani, 2023. "Productivity drivers of infrastructure companies: Network industries utilizing economies of scale in the digital era," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(4), pages 1273-1298, December.
    2. Agiakloglou, Christos & Polemis, Michael, 2017. "Evaluating the liberalization process on Telecommunications services for EU countries," MPRA Paper 85119, University Library of Munich, Germany.
    3. Polemis, Michael & Tselekounis, Markos, 2019. "Does deregulation drive innovation intensity? Lessons learned from the OECD telecommunications sector," MPRA Paper 92770, University Library of Munich, Germany.
    4. Nakatani, Ryota, 2022. "Productivity drivers of infrastructure companies: network industries to maximize economies of scale in the digital era," MPRA Paper 115531, University Library of Munich, Germany.
    5. Agiakloglou, Christos & Polemis, Michael, 2015. "What determines demand for Telecommunications services? Evidence from the EU countries before and after liberalization," 26th European Regional ITS Conference, Madrid 2015 127119, International Telecommunications Society (ITS).
    6. Andrea Bastianin & Paolo Castelnovo & Massimo Florio, 2018. "Evaluating regulatory reform of network industries: a survey of empirical models based on categorical proxies," Papers 1810.03348, arXiv.org.

  8. Christos Agiakloglou & Charalampos Agiropoulos, 2016. "The balance between size and power in testing for linear association for two stationary AR(1) processes," Applied Economics Letters, Taylor & Francis Journals, vol. 23(4), pages 230-234, March.

    Cited by:

    1. Christos Agiakloglou & Anil Bera & Emmanouil Deligiannakis, 2022. "Evaluating measures of dependence for linearly generated nonlinear time series along with spurious correlation," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 535-552, July.

  9. Christos Agiakloglou & Kyriakos Drivas & Dimitris Karamanis, 2016. "Individual inventors and market potentials: Evidence from US patents," Science and Public Policy, Oxford University Press, vol. 43(2), pages 147-156.
    See citations under working paper version above.
  10. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    See citations under working paper version above.
  11. Christos Agiakloglou, 2013. "Resolving spurious regressions and serially correlated errors," Empirical Economics, Springer, vol. 45(3), pages 1361-1366, December.

    Cited by:

    1. Murphy, Austin & AlSalman, Zeina & Souropanis, Ioannis, 2025. "An investigation into the causes of stock market return deviations from real earnings yields," International Review of Economics & Finance, Elsevier, vol. 102(C).
    2. Wang, Kun & Gong, Qiang & Fu, Xiaowen & Fan, Xingli, 2014. "Frequency and aircraft size dynamics in a concentrated growth market: The case of the Chinese domestic market," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 50-58.
    3. Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés & Alejandra I. Martínez-Olmos, 2016. "A comment on ‘resolving spurious regressions and serially correlated errors’," Empirical Economics, Springer, vol. 51(3), pages 1289-1298, November.
    4. Christos Agiakloglou & Cleon Tsimbos & Apostolos Tsimpanos, 2019. "Evidence of spurious results along with spatially autocorrelated errors in the context of geographically weighted regression for two independent SAR(1) processes," Empirical Economics, Springer, vol. 57(5), pages 1613-1631, November.

  12. Christos Agiakloglou & Konstantinos Bloutsos, 2011. "Comparing estimates of risk between markets and telecommunications institutions in Europe," Applied Economics Letters, Taylor & Francis Journals, vol. 18(6), pages 575-579.

    Cited by:

    1. Mohammed Ali Ahmed Al-Sharafi & Shu Tong & Abdullah Aloqab, 2021. "The Effective Role of Internal Factors on Reconstructing Telecom Companies: The Case of Yemen Telecom," Sustainability, MDPI, vol. 13(3), pages 1-23, February.
    2. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    3. Christos Agiakloglou & Michael Polemis, 2018. "The Impact of Structural Reforms on Telecommunications Performance," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 209-222, June.

  13. Christos Agiakloglou & Sotiris Karkalakos, 2009. "A spatial and economic analysis for telecommunications: Evidence from the European Union," Journal of Applied Economics, Universidad del CEMA, vol. 12, pages 11-32, May.

    Cited by:

    1. Agiakloglou, Christos & Polemis, Michael, 2017. "Evaluating the liberalization process on Telecommunications services for EU countries," MPRA Paper 85119, University Library of Munich, Germany.
    2. Mariana Kaneva, 2019. "Telecommunications infrastructure and GDP /Jipp curve/," Economics and computer science, Publishing house "Knowledge and business" Varna, issue 1, pages 6-29.
    3. Mayo, John W. & Ukhaneva, Olga, 2017. "International telecommunications demand," Information Economics and Policy, Elsevier, vol. 39(C), pages 26-35.
    4. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    5. Christos Agiakloglou & Michael Polemis, 2018. "The Impact of Structural Reforms on Telecommunications Performance," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 209-222, June.
    6. Kai Li & Zhili Ma & Jinjin Liu, 2019. "A New Trend in the Space–Time Distribution of Cultivated Land Occupation for Construction in China and the Impact of Population Urbanization," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    7. Agiakloglou, Christos & Polemis, Michael, 2015. "What determines demand for Telecommunications services? Evidence from the EU countries before and after liberalization," 26th European Regional ITS Conference, Madrid 2015 127119, International Telecommunications Society (ITS).

  14. Christos Agiakloglou & Demetrius Yannelis, 2006. "Estimation of Price Elasticities for International Telecommunications Demand," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 12(1), pages 131-137, February.

    Cited by:

    1. Mayo, John W. & Ukhaneva, Olga, 2017. "International telecommunications demand," Information Economics and Policy, Elsevier, vol. 39(C), pages 26-35.

  15. Agiakloglou, Christos & Newbold, Paul, 1996. "The balance between size and power in Dickey-Fuller tests with data-dependent rules for the choice of truncation lag," Economics Letters, Elsevier, vol. 52(3), pages 229-234, September.

    Cited by:

    1. Ricardo Quineche Uribe & Gabriel Rodríguez, 2015. "Data-Dependent Methods for the Lag Length Selection in Unit Root Tests with Structural Change," Documentos de Trabajo / Working Papers 2015-404, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Orregaard Nielsen, Morten, 2008. "A Powerful Test of the Autoregressive Unit Root Hypothesis Based on a Tuning Parameter Free Statistic," Queen's Economics Department Working Papers 273662, Queen's University - Department of Economics.
    3. Alfred A. Haug & Pierre L. Siklos, 2002. "The Term Spread International Evidence of Non-Linear Adjustment," Working Papers 2002_08, York University, Department of Economics, revised Jul 2004.
    4. Paul Newbold & Tony Rayner & Neil Kellard, 2000. "Long‐Run Drift, Co‐Movement and Persistence in Real Wheat and Maize Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(1), pages 106-121, January.
    5. Morten Ø. Nielsen, 2008. "A Powerful Test Of The Autoregressive Unit Root Hypothesis Based On A Tuning Parameter Free Statistic," Working Paper 1185, Economics Department, Queen's University.
    6. Zhang, Chuanguo & Qu, Xuqin, 2015. "The effect of global oil price shocks on China's agricultural commodities," Energy Economics, Elsevier, vol. 51(C), pages 354-364.
    7. Haug Alfred A & Siklos Pierre L, 2006. "The Behavior of Short-Term Interest Rates: International Evidence of Non-Linear Adjustment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-34, December.
    8. Campêlo, Ana Katarina & Cribari-Neto, Francisco, 2003. "Inflation Inertia and Inliers: The Case of Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 57(4), October.
    9. Morten Ø. Nielsen, 2008. "A Powerful Tuning Parameter Free Test Of The Autoregressive Unit Root Hypothesis," Working Paper 1175, Economics Department, Queen's University.
    10. Newbold, Paul & Leybourne, Stephen & Wohar, Mark E., 2001. "Trend-stationarity, difference-stationarity, or neither: further diagnostic tests with an application to U.S. Real GNP, 1875-1993," Journal of Economics and Business, Elsevier, vol. 53(1), pages 85-102.
    11. Liu, Feng & Zhang, Chuanguo & Tang, Mengying, 2021. "The impacts of oil price shocks and jumps on China's nonferrous metal markets," Resources Policy, Elsevier, vol. 73(C).
    12. Jaroslava Hlouskova & Martin Wagner, 2005. "The Performance of Panel Unit Root and Stationarity Tests: Results from a Large Scale Simulation Study," Diskussionsschriften dp0503, Universitaet Bern, Departement Volkswirtschaft.
    13. Orregaard Nielsen, Morten, 2008. "A Powerful Tuning Parameter Free Test of the Autoregressive Unit Root Hypothesis," Queen's Economics Department Working Papers 273651, Queen's University - Department of Economics.
    14. Ricardo Quineche & Gabriel Rodríguez, 2017. "Selecting the Lag Length for the M GLS Unit Root Tests with Structural Change: A Warning Note for Practitioners Based on Simulations," Econometrics, MDPI, vol. 5(2), pages 1-10, April.
    15. Lütkepohl, Helmut & Saikkonen, Pentti, 1997. "Order selection in testing for the cointegrating rank of a VAR process," SFB 373 Discussion Papers 1997,93, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

  16. Newbold, Paul & Agiakloglou, Christos & Miller, John, 1994. "Adventures with ARIMA software," International Journal of Forecasting, Elsevier, vol. 10(4), pages 573-581, December.

    Cited by:

    1. A. Yalta & A. Yalta, 2010. "Should Economists Use Open Source Software for Doing Research?," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 371-394, April.
    2. Mauricio, Jose Alberto, 2008. "Computing and using residuals in time series models," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1746-1763, January.
    3. McCullough, B. D., 2000. "Is it safe to assume that software is accurate?," International Journal of Forecasting, Elsevier, vol. 16(3), pages 349-357.
    4. B. D. McCullough & H. D. Vinod, 2003. "Verifying the Solution from a Nonlinear Solver: A Case Study," American Economic Review, American Economic Association, vol. 93(3), pages 873-892, June.
    5. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    6. Cribari-Neto, Francisco, 1996. "On time series econometrics," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(Supplemen), pages 37-60.
    7. Kusters, Ulrich & McCullough, B.D. & Bell, Michael, 2006. "Forecasting software: Past, present and future," International Journal of Forecasting, Elsevier, vol. 22(3), pages 599-615.
    8. Christian Kleiber & Gabriele Widmann & Walter Krämer & Christian Kleiber, 2001. "Book reviews," Statistical Papers, Springer, vol. 42(4), pages 537-541, October.
    9. Yalta, A. Talha & Jenal, Olaf, 2009. "On the importance of verifying forecasting results," International Journal of Forecasting, Elsevier, vol. 25(1), pages 62-73.

  17. Christos Agiakloglou & Paul Newbold, 1994. "Lagrange Multiplier Tests For Fractional Difference," Journal of Time Series Analysis, Wiley Blackwell, vol. 15(3), pages 253-262, May.

    Cited by:

    1. Morten Oe. Nielsen, "undated". "Efficient Likelihold Inference in Nonstationary Univariate Models," Economics Working Papers 2001-8, Department of Economics and Business Economics, Aarhus University.
    2. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2015. "Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets," Journal of Econometrics, Elsevier, vol. 187(2), pages 557-579.
    3. Breitung, Jorg & Hassler, Uwe, 2002. "Inference on the cointegration rank in fractionally integrated processes," Journal of Econometrics, Elsevier, vol. 110(2), pages 167-185, October.
    4. Nielsen M.O., 2004. "Optimal Residual-Based Tests for Fractional Cointegration and Exchange Rate Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 331-345, July.
    5. Luis A. Gil-Alana, 2007. "A Multivariate Long Memory Model for the Specification of Real Output in the US, the UK, and Canada," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(2), pages 135-146, August.
    6. Hassler, Uwe & Breitung, Jörg, 2002. "A Residual-Based LM Test for Fractional Cointegration," Darmstadt Discussion Papers in Economics 114, Darmstadt University of Technology, Department of Law and Economics.
    7. Morten Ø. Nielsen & S Johansen, 2017. "Testing The Cvar In The Fractional Cvar Model," Working Paper 1394, Economics Department, Queen's University.
    8. Morten Oerregaard Nielsen, "undated". "Efficient Inference in Multivariate Fractionally Integrated Time Series Models," Economics Working Papers 2002-6, Department of Economics and Business Economics, Aarhus University.
    9. Matei Demetrescu & Adina Tarcolea, 2008. "Bias correction for the regression-based LM fractional integration test," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(1), pages 91-99, February.
    10. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    11. Javier Hualde & Morten {O}rregaard Nielsen, 2022. "Fractional integration and cointegration," Papers 2211.10235, arXiv.org.
    12. Jorge M. L. Andraz & Raúl F. C. Guerreiro & Paulo M. M. Rodrigues, 2018. "Persistence of travel and leisure sector equity indices," Empirical Economics, Springer, vol. 54(4), pages 1801-1825, June.
    13. Nielsen, Morten Oe., "undated". "Multivariate Lagrange Multiplier Tests for Fractional Integration," Economics Working Papers 2002-18, Department of Economics and Business Economics, Aarhus University.
    14. Uwe Hassler & Matei Demetrescu & Adina Tarcolea, 2011. "Asymptotic normal tests for integration in panels with cross-dependent units," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(2), pages 187-204, June.
    15. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2017. "Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 198(1), pages 165-188.
    16. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2017. "Persistence and cycles in the us federal funds rate," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 1-8.
    17. Jakob Roland Munch & Michael Svarer, "undated". "Mortality and Socio-economic Differences in a Competing Risks Model," Economics Working Papers 2001-1, Department of Economics and Business Economics, Aarhus University.
    18. Paulo M. M. Rodrigues & Philipp Sibbertsen & Michelle Voges, 2024. "The stability of government bond markets’ equilibrium and the interdependence of lending rates," Empirical Economics, Springer, vol. 67(6), pages 2503-2538, December.
    19. Hiemstra, Craig & Jones, Jonathan D., 1997. "Another look at long memory in common stock returns," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 373-401, December.
    20. Hamidreza Mostafaei & Leila Sakhabakhsh, 2012. "Using SARFIMA Model to Study and Predict the Iran s Oil Supply," International Journal of Energy Economics and Policy, Econjournals, vol. 2(1), pages 41-49.
    21. Pérez, Ana & Ruiz Ortega, Esther, 2001. "Modelos de memoria larga para series económicas y financieras," DES - Documentos de Trabajo. Estadística y Econometría. DS ds010101, Universidad Carlos III de Madrid. Departamento de Estadística.

  18. Christos Agiakloglou & Paul Newbold & Mark Wohar, 1993. "Bias In An Estimator Of The Fractional Difference Parameter," Journal of Time Series Analysis, Wiley Blackwell, vol. 14(3), pages 235-246, May.

    Cited by:

    1. Cevik, Emrah Ismail, 2012. "İstanbul Menkul Kıymetler Borsası’nda etkin piyasa hipotezinin uzun hafıza modelleri ile analizi: sektörel bazda bir inceleme [The testing of efficient market hypothesis in the Istanbul Stock Exchange by using long memory models: a sector-specific," MPRA Paper 71484, University Library of Munich, Germany, revised 2012.
    2. Bisaglia, Luisa & Guegan, Dominique, 1998. "A comparison of techniques of estimation in long-memory processes," Computational Statistics & Data Analysis, Elsevier, vol. 27(1), pages 61-81, March.
    3. Jardet, Caroline & Monfort, Alain & Pegoraro, Fulvio, 2013. "No-arbitrage Near-Cointegrated VAR(p) term structure models, term premia and GDP growth," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 389-402.
    4. Dimitrios Vougas, 2004. "Analysing long memory and volatility of returns in the Athens stock exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 14(6), pages 457-460.
    5. Gilles Dufrénot & Valérie Mignon & Théo Naccache, 2009. "The slow convergence of per capita income between the developing countries: “growth resistance” and sometimes “growth tragedy”," Discussion Papers 09/03, University of Nottingham, CREDIT.
    6. Gael Martin, 2001. "Bayesian Analysis Of A Fractional Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 217-234.
    7. Grace Yap & Wen Cheong Chin, 2016. "Spectral bandwidth selection for long memory," Modern Applied Science, Canadian Center of Science and Education, vol. 10(8), pages 1-63, August.
    8. Maharaj, E.A., 1999. "A Test for the Difference Parameter of the ARFIMA Model Using the Moving Blocks Bootstrap," Monash Econometrics and Business Statistics Working Papers 11/99, Monash University, Department of Econometrics and Business Statistics.
    9. Rania Jammazi & Chaker Aloui, 2014. "Cyclical components and dual long memory in the foreign exchange rate dynamics: the Tunisian case," Working Papers 2014-198, Department of Research, Ipag Business School.
    10. Durden, Garey C. & Gaynor, Patricia E., 2015. "Publishing in The Journal of Regional Analysis and Policy and an Evaluation (via Citation Counts) of JRAP’s Influence on Scholarship in Regional Science," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 45(2).
    11. Kyongwook Choi & Eric Zivot, 2003. "Long Memory and Structural Changes in the Forward Discount: An Empirical Investigation," EERI Research Paper Series EERI_RP_2003_02, Economics and Econometrics Research Institute (EERI), Brussels.
    12. Jia Li & Peter C. B. Phillips & Shuping Shi & Jun Yu, 2022. "Weak Identification of Long Memory with Implications for Inference," Cowles Foundation Discussion Papers 2334, Cowles Foundation for Research in Economics, Yale University.
    13. Jerry Coakley & Jian Dollery & Neil Kellard, 2011. "Long memory and structural breaks in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(11), pages 1076-1113, November.
    14. Morten Ø. Nielsen & Per Houmann Frederiksen, 2005. "Finite Sample Comparison Of Parametric, Semiparametric, And Wavelet Estimators Of Fractional Integration," Working Paper 1189, Economics Department, Queen's University.
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    2. Yin‐Wong Cheung & Kon S. Lai, 1995. "Estimating Finite Sample Critical Values For Unit Root Tests Using Pure Random Walk Processes:A Note," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(5), pages 493-498, September.
    3. Nikolaos Agiakloglou & Nikolaos Georgopoulos, 2025. "Spurious relationships for energy patents using various dependency measures: the case of G7 countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 49(4), pages 942-962, December.
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    7. Consuelo Arellano & Sastry G. Pantula, 1995. "Testing For Trend Stationarity Versus Difference Stationarity," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(2), pages 147-164, March.
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  20. Paul Newbold & Christos Agiakloglou, 1991. "Looking for Evolving Growth Rates and Cycles in British Industrial Production, 1700–1913," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 154(2), pages 341-348, March.

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    3. Cribari-Neto, Francisco, 1993. "Unit roots, random walks and the sources of business cycles: a survey," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 47(3), July.

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